tommy-iwnl- — CS2 Stats

PT76561198849419573[U:1:889153845]Steam profile ↗✓ No bans

1,101Tracked matches36%Win rate2020Tracked since

1,804Hours in CS9Hrs last 2 wks

CSDB Rating6.1 SolidClutch Specialist

Premier CS Rating20,648Top 50% of 215,386 CSDB-tracked playersPink band · top ~7.8% of ranked players (population est.)

CSDB Leaderboard#75240 of 261580 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 20,648 -970 18 Sept – 13 Nov · 31 days played

23,084Peak Premier in tracked matches

48Days played since 2026-08-12

Premier CS Rating

2,436 below peak (23,084)
-2,436 over 30 days · declining
Next: Red band at 25,000 — 4,352 to go
Reached: Pink band · Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,595), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 7 median	Level 8 median	vs Level 8
Headshot rate	55.9%	45.7%	46.8%	above
Shot accuracy	15.2%	12.7%	13.0%	above
Kill/death ratio	0.99	1.05	1.06	0.07 short
Match win rate	50.6%	45.7%	46.3%	above

This profile matches the typical Level 8 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim78

Positioning59

Utility54

0–100 skill scores via Leetify.

Recent form

COLD40–57–3Last 10040%Win rateWLLLLWWTLL

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · +6.0pp headshot accuracy · −22ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

1–4 · 20% win rate
Avg rating 0.01
Avg headshot accuracy 35%
Avg reaction 597ms

Last 10

3–6–1 · 30% win rate
Avg rating 0.02
Avg headshot accuracy 34%
Avg reaction 621ms

Last 20

7–11–2 · 35% win rate
Avg rating 0.01
Avg headshot accuracy 31%
Avg reaction 632ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.7 against its own average).

Aim7.8

Utility5.4

Positioning5.9

Opening Duels2.9

Clutch7.0

Strong CT-side openerReliable in 1v1s

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like Twistzz 94% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 602ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim7.8

Positioning5.9

Utility5.4

Mechanics7.5

Opening Duels5.2

Win Impact0.2

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time622ms+9ms

first ⅓ avg 613ms → last ⅓ avg 622ms

Headshot accuracy28.2%+0.1%

first ⅓ avg 28.0% → last ⅓ avg 28.2%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.20Best match rating · 3–0 · nuke, 11 Sept →

63%Best headshot accuracy · 13–7 · anubis, 21 Sept →

422msFastest reaction time · 13–9 · dust2, 12 Sept →

13–2Biggest win · dust2, 25 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak

5–10In matches decided by ≤2 rounds

11Overtime games

Map breakdown

cacheBest map · 60% over 10ancientWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	30	11–19	37%	0.00
nuke	A	22	12–10	55%	0.05
cache	A	10	6–4	60%	-0.00
inferno	D	9	3–6	33%	0.00
dust2	D	9	3–6	33%	-0.01
anubis	C	7	3–4	43%	0.01
ancient	D	7	2–5	29%	0.01
vertigo	—	3	0–3	0%	0.05
overpass	—	1	0–1	0%	-0.03
italy	—	1	0–1	0%	-0.02
office	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

60,248Lifetime kills

0.99K/D

2,448Matches

50.6%Match win rate · Top 25% of Level 7 players

55.9%Headshot % · Top 25% of Level 7 players

15.2%Shot accuracy · Top 50% of Level 7 players

6,455MVPs

1,236Hours (in match)

3,220Bombs planted

660Bombs defused

Most-used weapons

AK-4718,640

M4A4 / M4A1-S8,835

Desert Eagle6,886

AWP4,829

P2000 / USP-S4,077

Glock-182,953

SSG 082,163

MP91,826

Galil AR1,546

FAMAS1,344

Lifetime map wins

3,296dust2

2,742inferno

2,111nuke

1,920vertigo

1,185train

297lake

140cbble

111office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

352Matches

54%Win rate

1.18Avg K/D

63.2ADR

44%Headshot %

Clutches & streaks

55%1v1 clutch win

11%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	8	38%	0.84	12.4
Mirage	6	33%	1.12	15.3
Train	4	50%	0.52	9.0
Anubis	3	67%	0.80	12.3
Ancient	1	100%	1.50	21.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

29.1%Headshot accuracy

31.9%Accuracy (enemy spotted)

31.1%Spray accuracy

83.7%Counter-strafing

9.1°Preaim

602msReaction time

51.9%T opening success

49.9%CT opening success

0.58Enemies flashed / flash

3.6%Flash assists

11.06HE damage / grenade

8.07Flashes / match

Recommended for you

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–9	0.06	40%	13 Nov →
mirage	7–13	0.04	40%	13 Nov →
nuke	6–13	0.01	43%	13 Nov →
inferno	2–13	-0.08	27%	13 Nov →
dust2	10–13	0.03	25%	13 Nov →
anubis	13–9	0.06	43%	12 Nov →
nuke	8–4	0.04	41%	12 Nov →
nuke	12–12	0.09	30%	11 Nov →
mirage	10–13	0.02	38%	10 Nov →
mirage	11–13	-0.04	14%	10 Nov →
mirage	8–13	0.05	41%	8 Nov →
mirage	9–13	-0.03	23%	5 Nov →
cache	16–13	0.02	30%	1 Nov →
cache	14–16	-0.08	31%	28 Oct →
mirage	13–9	-0.03	38%	27 Oct →
mirage	14–16	-0.03	17%	25 Oct →
dust2	13–2	0.08	26%	25 Oct →
anubis	6–13	-0.06	26%	22 Oct →
inferno	15–15	-0.00	27%	22 Oct →
ancient	13–8	-0.03	24%	22 Oct →
nuke	13–8	0.06	28%	21 Oct →
mirage	13–10	0.02	33%	21 Oct →
inferno	11–13	-0.02	27%	21 Oct →
anubis	9–13	0.03	33%	21 Oct →
nuke	4–13	-0.02	17%	20 Oct →
dust2	8–13	-0.08	14%	20 Oct →
dust2	13–9	0.02	24%	18 Oct →
cache	0–13	-0.10	19%	18 Oct →
nuke	8–13	-0.04	33%	16 Oct →
anubis	8–13	0.09	30%	15 Oct →
inferno	8–13	-0.04	11%	15 Oct →
mirage	13–7	0.07	28%	15 Oct →
dust2	1–13	-0.03	10%	14 Oct →
nuke	15–15	0.07	23%	14 Oct →
nuke	13–4	0.08	26%	13 Oct →
mirage	5–13	-0.10	33%	12 Oct →
nuke	13–11	0.07	32%	11 Oct →
ancient	8–13	-0.02	20%	11 Oct →
nuke	13–9	0.06	22%	11 Oct →
mirage	13–4	0.03	17%	11 Oct →
ancient	7–13	-0.03	27%	11 Oct →
ancient	6–13	0.00	23%	10 Oct →
ancient	7–13	-0.02	21%	10 Oct →
dust2	8–13	0.10	27%	9 Oct →
nuke	13–7	0.06	23%	9 Oct →
nuke	16–14	0.01	19%	6 Oct →
cache	13–7	-0.02	14%	2 Oct →
nuke	11–13	0.02	14%	2 Oct →
mirage	10–13	0.01	27%	1 Oct →
cache	10–13	-0.03	15%	1 Oct →
anubis	16–14	-0.02	25%	30 Sept →
cache	13–3	0.07	13%	29 Sept →
overpass	11–13	-0.03	18%	29 Sept →
nuke	13–9	0.03	15%	28 Sept →
inferno	11–13	-0.02	25%	28 Sept →
nuke	14–16	0.01	22%	26 Sept →
mirage	13–9	0.02	17%	26 Sept →
mirage	13–16	-0.01	16%	25 Sept →
mirage	13–8	0.03	32%	24 Sept →
mirage	9–13	-0.03	27%	22 Sept →
cache	13–10	0.04	14%	22 Sept →
mirage	9–13	-0.05	21%	21 Sept →
nuke	2–13	-0.05	7%	21 Sept →
anubis	13–7	0.04	63%	21 Sept →
mirage	6–13	-0.04	30%	20 Sept →
mirage	13–11	0.11	27%	20 Sept →
nuke	13–8	0.14	22%	20 Sept →
italy	8–13	-0.02	13%	20 Sept →
dust2	5–13	-0.07	31%	20 Sept →
nuke	16–12	0.00	19%	18 Sept →
ancient	13–6	0.05	31%	18 Sept →
mirage	13–9	0.01	26%	18 Sept →
mirage	13–8	-0.04	43%	17 Sept →
office	10–13	-0.01	13%	16 Sept →
mirage	6–13	-0.02	33%	16 Sept →
dust2	6–13	-0.07	8%	16 Sept →
mirage	13–7	0.02	23%	16 Sept →
cache	1–13	0.03	38%	14 Sept →
nuke	13–5	0.04	29%	14 Sept →
mirage	2–13	-0.02	20%	12 Sept →
cache	5–1	0.07	36%	12 Sept →
dust2	13–9	-0.06	36%	12 Sept →
mirage	10–13	0.01	16%	12 Sept →
nuke	7–9	0.09	29%	11 Sept →
nuke	3–0	0.20	50%	11 Sept →
inferno	16–13	0.03	38%	6 Sept →
anubis	3–13	-0.05	20%	6 Sept →
vertigo	6–13	0.05	20%	5 Sept →
inferno	13–8	0.09	22%	27 Aug →
nuke	9–13	0.06	41%	26 Aug →
mirage	13–11	0.06	34%	25 Aug →
mirage	8–13	0.01	36%	25 Aug →
vertigo	6–9	0.10	29%	25 Aug →
mirage	4–13	-0.09	17%	19 Aug →
vertigo	0–11	0.01	50%	19 Aug →
mirage	4–13	-0.07	30%	19 Aug →
inferno	2–12	-0.02	0%	19 Aug →
mirage	10–8	0.15	44%	19 Aug →
ancient	2–10	0.08	25%	18 Aug →
cache	13–10	-0.04	25%	12 Aug →